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Machine Learning Winter Internship Jobs in Raleigh, NC

IBM

Product Manager Intern 2027

Durham, NC

Internship start dates vary based on your academic calendar. • Semester System: May 24, 2027 ... machine learning to generative AI-to help make organizations more responsive, productive, and ...

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Machine Learning Winter Internship information

See Raleigh, NC salary details

$24.8K

$41.4K

$85.5K

How much do machine learning winter internship jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning winter internship in Raleigh, NC is $41,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is a machine learning winter internship?

A Machine Learning Winter Internship is a short-term, practical training program typically offered during the winter months for students or early-career professionals interested in machine learning. Interns work on real-world projects involving data analysis, model development, and algorithm implementation under the guidance of experienced mentors. The internship provides hands-on experience with tools and techniques used in the field, helping participants build technical skills and gain industry exposure. These positions are often offered by tech companies, research labs, or startups and can be either remote or onsite. Successful completion of a machine learning internship can enhance a candidate's resume and open up further career opportunities in artificial intelligence and data science.

What types of projects and tasks can I expect to work on during a machine learning winter internship?

During a Machine Learning Winter Internship, you can expect to work on hands-on projects such as data preprocessing, building and evaluating machine learning models, and assisting with research experiments. Interns often contribute to real-world applications, such as developing predictive analytics tools, optimizing algorithms, or supporting deployment efforts. Collaboration is common, as you'll work closely with data scientists, engineers, and sometimes product teams, giving you exposure to the full machine learning workflow. This environment provides an excellent opportunity to apply theoretical knowledge, gain practical experience, and build a professional network in the field.

What are the key skills and qualifications needed to thrive as a machine learning winter intern, and why are they important?

To thrive as a Machine Learning Winter Intern, you generally need a solid foundation in mathematics, programming (especially Python), and a basic understanding of machine learning concepts, often acquired through coursework or relevant projects. Familiarity with tools such as TensorFlow, PyTorch, and data analysis libraries like Pandas and NumPy is typically required. Strong problem-solving abilities, collaboration, and curiosity help interns stand out in team-based, fast-paced environments. These skills are crucial for effectively contributing to real-world projects and quickly learning from experienced professionals during the internship.

What is the difference between Machine Learning Winter Internship vs Data Science Winter Internship?

AspectMachine Learning Winter InternshipData Science Winter Internship
Required CredentialsUndergraduate or graduate in CS, AI, or related fields; some knowledge of ML frameworksUndergraduate or graduate in Statistics, Math, CS; familiarity with data analysis tools
Work EnvironmentResearch labs, tech companies, startups focusing on ML modelsData analysis, visualization, and interpretation in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, consulting

While both internships involve working with data, the Machine Learning Winter Internship emphasizes developing and applying ML algorithms, whereas the Data Science Winter Internship focuses on analyzing data, creating reports, and deriving insights. Candidates should choose based on their specific skills and career goals in AI or data analysis.

What are popular job titles related to Machine Learning Winter Internship jobs in Raleigh, NC?

For Machine Learning Winter Internship jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Winter Internship jobs in Raleigh, NC look for?

The top searched job categories for Machine Learning Winter Internship jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Machine Learning Winter Internship jobs?

Cities near Raleigh, NC with the most Machine Learning Winter Internship job openings:

Machine Learning Winter Internship jobs near you
Infographic showing various Machine Learning Winter Internship job openings in Raleigh, NC as of September 2026, with employment types broken down into 20% Full Time, 60% Part Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $41,395 per year, or $19.9 per hour.

Strategic Student Program: AI & Engineering Data Internship (Spring 2027, GSCS)

Raleigh, NC • Remote

Siemens
Machinery Manufacturing • 10K+ employees
Learn more about Siemensexternal

$18 - $50/hr

Full-time, Internship

Retirement

Posted 11 days ago

Siemens rating

7.7

Company rating: 7.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

Job description

Siemens Digital Industries Software

Strategic Student Program (SSP)

Discover your career with us at Siemens Digital Industries Software!

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.

We're currently recruiting co-ops and interns for our Spring 2027 Strategic Student Program. Our opportunities will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems and turn theory into practice. At Siemens, our goal is to empower our students to become the next leaders of our company.

Baseline Program Requirements:

  • Currently enrolled as an undergraduate student at an accredited university
  • Legally authorized to work in the United States without the need for current or future sponsorship by the company
  • A minimum 3.0 GPA

Perks:

  • Employee discounts at our top customer sites
  • Networking with our global leaders
  • Mentorship from senior employees
  • Individual career development planning
  • Professional and technical workshops
  • Paid volunteer time off
  • Energetic student community
  • Leadership opportunities
  • Potential for full-time offers after university graduation and completion of the program

Position Overview:

Siemens Digital Industries Software is seeking an AI & Engineering Data Intern to support emerging Artificial Intelligence and Digital Thread initiatives within the Capital PreSales organization. This role provides hands-on experience applying AI technologies to engineering challenges across aerospace, defense, and automotive industries.

The intern will help create and manage engineering datasets, investigate AI-assisted workflows, and support projects that demonstrate how Digital Threads enable intelligent decision-making throughout the product lifecycle. The role combines engineering, software, data management, and AI technologies to develop innovative customer-facing demonstrations and internal capabilities.

Key Responsibilities:

  • Develop and curate engineering datasets for AI, analytics, and demonstration use cases.
  • Support AI and generative AI proof-of-concepts involving engineering and Digital Thread data.
  • Assist in connecting systems, software, and electrical engineering information into reusable data models.
  • Evaluate and document AI-assisted engineering workflows and use cases.
  • Build dashboards, reports, and visualizations that communicate engineering insights.
  • Support technical enablement activities and customer demonstration development.

Requirements:

  • Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial
  • Comfortable working in a fully remote environment within the United States of America.
  • Intelligence, Software Engineering, Systems Engineering, or a related discipline.
  • Experience with Python, data analytics, machine learning, or AI technologies.
  • Familiarity with digital engineering, PLM, or engineering data management concepts is a plus.
  • Strong communication, collaboration, and problem-solving skills.
  • Passion for applying emerging technologies to real-world engineering challenges.

#LI-PLM

#LI-Remote

#SWSaaS

You'll Benefit From

The hourly pay range for this position $18 - $50 per hour, based off of your projected graduation year. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Additionally, interns for Siemens are eligible to contribute into our 401K program.

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

Reasonable Accommodations

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.

Pay Transparency

Siemens follows Pay Transparency laws.

Application Deadline

This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.

California Privacy Notice

California residents have the right to receive additional notices about their personal information. To learn more, click here.

Criminal History

Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.

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